In the competitive arena of professional football, strategic player acquisition and management are crucial for a team’s success. This project harnesses Gurobi optimization techniques to offer teams a sophisticated, data-driven framework for making informed decisions on player acquisitions, lineups, and coaches. Focusing on multiple objective optimization with a hierarchical approach and discrete optimization through Mixed-Integer Programming (MIP), the project aims to assess player selections and critically evaluate coaching decisions.
